Community Engagement Archive

Stay motivated to keep up with your fitness goals by taking care of a virtual pet!

This system is a cheaper alternative option to chemical water treatment meant to sterilize drinking water with UV-C light by controlling water flow in order to achieve proper irradiation time.

The surveying altimeter is a cheap, portable, and easy-to-use method of determining the relative height differences between points of interest.

Have you ever had a gourd and wanted it over there, but in a way that would inspire the masses? The Mechanical Engineering Department sure has, and has tasked our team with creating their submission to our ASME-hosted annual pumpkin launch.

The Pittsford Community Library Team was tasked to design and manufacture an interactive ball maze machine. Upon completion, the model will be moved and displayed within the children's lofted play area of the Pittsford Community Library. The main goal of this project was to deliver a fully functioning ball maze display, decorated with laser cut wooden designs of landmarks across Rochester. Combining elements of STEM and history, the team hoped to create a fun and educational display that children, as well as all library visitors, can enjoy.

The Mary Cariola Classroom Aids project focused on developing LED light panels to refocus the attention of visually impaired students. Our solution includes 4 individual panels, as well as a stand that can rotate to three different angles to help accommodate various students.

Art and Engineering are two separate disciplines that don't collaborate and intersect as much as they should. There are many mediums that mix both disciplines to allow for a fuller artistic approach to engineering, but these mediums aren't abundant on the River Campus. The Kinetic Sculpture capstone project aims to be the bridge between these departments through kinetic art. The following interactive art piece fuses the concepts of art and mechanics to provide students with a one-of-a-kind experience on campus.

Our project was to implement a system of light reflectors that autonomously track the sun's position and focus the light on a solar panel to maximize the incident light intensity and hence more power capture. The system was to be significantly cheap compared to buying multiple solar panels and capture more than double the solar power than using an ordinary solar panel.

The Caldwell-Fay equation (2002) attempts to model what Lake Ontario's current water level would be if dam construction had never taken place along the St. Lawrence Seaway (i.e. the natural hydraulic state of the lake). Newly unearthed Lake Ontario data going back to the 1860s has been discovered, and we had the rare opportunity to be the first to digitize and publicly analyze it. Since this data set predates any dam construction it actually captures the lake's natural state. Therefore it can be used to verify Caldwell-Fey's equation which is being used to govern the lake's inflow and outflow rate on a daily basis.

RTS is a regional transportation authority established by New York State and the goal of the project is to find the potential reasons for preventable accidents caused by bus operators. First, descriptive and exploratory analysis is performed on all the data provided and driver-related variables and environmental-related variables. Then, frequent pattern mining is applied and conditional probabilities are calculated for the accident history of operators with high risk of accidents to extract accident patterns.

A chair specifically designed to safely and comfortably sit infants and young children that are immobilized by a cast that spans from the mid abdomen to the ankle, all while allowing proper social and cognitive development. The chair incorporates extra space for the casted torso and legs, as well as multiple aspects of adjustability to fit the wide range of children sizes and to fit under tables of varying heights.

There is a need to ensure that drivers are alerted of approaching emergency vehicles so that they can remove themselves from the path of the emergency vehicle. It is especially a challenge for deaf, hard of hearing, and distracted drivers to identify emergency signals, which puts them at an increased risk for collision. In this project, we developed a device for use in the car that detects emergency vehicles and notifies the driver of their presence. We used a trained convolutional neural network to detect sirens in noisy environments. On our validation set, we achieved a 95% detection accuracy with a 50% criterion. A demonstration of our real-time detector and design schematic are shown below.